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Food Biotechnology

Journal

2023

Neural network

Articles 1 - 4 of 4

Full-Text Articles in Life Sciences

Construction And Research Of Bioreactor Simulation Scale-Up Model, Hu Yi-Wen, Han Fei-Fei, Jin Kui-Qi, Sun Yang Apr 2023

Construction And Research Of Bioreactor Simulation Scale-Up Model, Hu Yi-Wen, Han Fei-Fei, Jin Kui-Qi, Sun Yang

Food and Machinery

Objective: Building a perfect bioreactor scale-up model provides convenience for enterprise production, and a guidance for reactor manufacturers. Methods: Through the test of 1.5, 5, 20, 200 L scale reactor, the correlation and parameters of the volume dissolved oxygen coefficient kLa and mixing time tm were optimized and explored, the simulation amplification model of bioreactor was established, and the Scaleuper amplification system was built by MATLAB. Results: Compared with the test results, the simulation deviation of kLa was within ±15%. By introducing the definition of critical speed into the correlation of tm, the overall simulation deviation of tm was reduced …


Light Weight Detection Of Mango Surface Defects Based On Machine Vision, Nie Yan-Wen, Yang Jia-Chen, Wen Hui-Xin, Gao Lu, Xu Jian Apr 2023

Light Weight Detection Of Mango Surface Defects Based On Machine Vision, Nie Yan-Wen, Yang Jia-Chen, Wen Hui-Xin, Gao Lu, Xu Jian

Food and Machinery

Objective: Reduce the manufacturing cost of automated mango grading equipment. Methods: The effects of three commonly detection algorithms for mango defect detection were compared, and a defect detection algorithm based on YOLOv5 for mango surface was proposed for the light weight design to work on mobile devices. Results: Compared with the original algorithm, the experimental algorithm can reduce the number of parameters by 45.9%, the number of floating point operations by 46.7%, and the weight file size by 45.2% under the premise of meeting the requirements for mango surface defect detection. Conclusion: the experimental algorithm effectively reduces the performance requirements …


Geographic Origin Determination Of Millet Based On Near Infrared Spectroscopy Technique, Nan Li, Chun-Jie Yang Feb 2023

Geographic Origin Determination Of Millet Based On Near Infrared Spectroscopy Technique, Nan Li, Chun-Jie Yang

Food and Machinery

In order to provide a scientific method for the geographic origin determination of millet, a portable near-infrared (NIR) spectrometer was used in combination with other methods, including principal component analysis (PCA), linear discriminant analysis (LDA) and multi-layer perceptron neural network (MLP-NN). The results showed that, for PCA model, samples from different places except Shanxi, Henan and Heilongjiang provinces clustered into different groups significantly. Millet samples from different origins could be effectively discriminated by FLDA and MLP-NN. The MLP-NN model was better than FLDA model in recognition rate. The recognition accuracy of the two models for the predication set were 92.3% …


Design Of Tea Baking Temperature Control System Based On Fuzzy Neural Network Pid Control, Xing Chen Feb 2023

Design Of Tea Baking Temperature Control System Based On Fuzzy Neural Network Pid Control, Xing Chen

Food and Machinery

Aiming at the refined requirements of temperature in the process of scented tea baking, a control system composed of fuzzy control, neural network and PID algorithm was proposed to realize the reliable control of temperature and humidity and to achieve the purpose of rapid dehumidification and drying of flowers. The system taken the temperature and humidity error e and error rate ec as input variables for fuzzy processing, established membership function, through fuzzy reasoning and fuzzy production into the output, for PID control system to provide optimal regulatory factor △K, accurate control of the executive unit. The system …